[1] T. Wetz and N. Wildmann. Multi-point in situ measurements of turbulent flow in a wind turbine wake and inflow with a fleet of uncrewed aerial systems. Wind Energy Science, 8(4):515--534, 2023. [ bib | DOI ]
[2] T. Wetz, J. Zink, J. Bange, and N. Wildmann. Analyses of spatial correlation and coherence in abl flow with a fleet of uas. Boundary-Layer Meteorology, 187(3):673--701, 2023. [ bib | DOI ]
[3] Cathy Hohenegger, Felix Ament, Frank Beyrich, Ulrich Löhnert, Henning Rust, Jens Bange, Tobias Böck, Christopher Böttcher, Jakob Boventer, Finn Burgemeister, Marco Clemens, Carola Detring, Igor Detring, Noviana Dewani, Ivan Bastak Duran, Stephanie Fiedler, Martin Göber, Chiel van Heerwaarden, Bert Heusinkveld, Bastian Kirsch, Daniel Klocke, Christine Knist, Ingo Lange, Felix Lauermann, Volker Lehmann, Jonas Lehmke, Ronny Leinweber, Kristina Lundgren, Matthieu Masbou, Matthias Mauder, Wouter Mol, Hannes Nevermann, Tatiana Nomokonova, Eileen Päschke, Andreas Platis, Jens Reichardt, Luc Rochette, Mirjana Sakradzija, Linda Schlemmer, Jürg Schmidli, Nima Shokri, Vincent Sobottke, Johannes Speidel, Julian Steinheuer, David D. Turner, Hannes Vogelmann, Christian Wedemeyer, Eduardo Weide-Luiz, Sarah Wiesner, Norman Wildmann, Kevin Wolz, and Tamino Wetz. Fesstval: The field experiment on submesoscale spatio-temporal variability in lindenberg. Bulletin of the American Meteorological Society, 104(10):E1875 -- E1892, 2023. [ bib | DOI ]
[4] A. Forstmaier, J. Chen, F. Dietrich, J. Bettinelli, H. Maazallahi, C. Schneider, D. Winkler, X. Zhao, T. Jones, C. van der Veen, N. Wildmann, M. Makowski, A. Uzun, F. Klappenbach, H. Denier van der Gon, S. Schwietzke, and T. Röckmann. Quantification of methane emissions in hamburg using a network of ftir spectrometers and an inverse modeling approach. Atmospheric Chemistry and Physics, 23(12):6897--6922, 2023. [ bib | DOI ]
[5] Norman Wildmann, Martin Hagen, and Thomas Gerz. Enhanced resource assessment and atmospheric monitoring of the research wind farm WiValdi. Journal of Physics: Conference Series, 2265(2):022029, may 2022. [ bib | DOI ]
[6] Tamino Wetz and Norman Wildmann. Spatially distributed and simultaneous wind measurements with a fleet of small quadrotor UAS. Journal of Physics: Conference Series, 2265(2):022086, may 2022. [ bib | DOI ]
[7] Andreas Luther, Julian Kostinek, Ralph Kleinschek, Sara Defratyka, Mila Stanisavljevic, Andreas Forstmaier, Alexandru Dandocsi, Leon Scheidweiler, Darko Dubravica, Norman Wildmann, Frank Hase, Matthias Frey, Jia Chen, Florian Dietrich, Jaroslaw Necki, Justyna Swolkien, Christoph Knote, Sanam N. Vardag, Anke Roiger, and André Butz. Observational constraints on methane emissions from polish coal mines using a ground-based remote sensing network. Atmospheric Chemistry and Physics (ACP), 22:5859--5876, Mai 2022. [ bib ]
[8] N. Wildmann and T. Wetz. Towards vertical wind and turbulent flux estimation with multicopter uncrewed aircraft systems. Atm. Meas. Tech., 15(18):5465--5477, 2022. [ bib | DOI ]
[9] J. Quimbayo-Duarte, J. Wagner, N. Wildmann, T. Gerz, and J. Schmidli. Evaluation of a forest parameterization to improve boundary layer flow simulations over complex terrain. a case study using wrf-les v4.0.1. Geoscientific Model Development, 15(13):5195--5209, 2022. [ bib | DOI ]
[10] Norman Wildmann, Ramona Eckert, Andreas Dörnbrack, Sonja Gisinger, Markus Rapp, Klaus Ohlmann, and Annelize van Niekerk. In situ measurements of wind and turbulence by a motor glider in the andes. Journal of Atmospheric and Oceanic Technology, 38(4):921 -- 935, 2021. [ bib | DOI ]
[11] T. Wetz, N. Wildmann, and F. Beyrich. Distributed wind measurements with multiple quadrotor unmanned aerial vehicles in the atmospheric boundary layer. Atmospheric Measurement Techniques, 14(5):3795--3814, 2021. [ bib | DOI ]
[12] Markus Rapp, Bernd Kaifler, Andreas D?rnbrack, Sonja Gisinger, Tyler Mixa, Robert Reichert, Natalie Kaifler, Stefanie Knobloch, Ramona Eckert, Norman Wildmann, Andreas Giez, Lukas Krasauskas, Peter Preusse, Markus Geldenhuys, Martin Riese, Wolfgang Woiwode, Felix Friedl-Vallon, Björn-Martin Sinnhuber, Alejandro de la Torre, Peter Alexander, Jose Luis Hormaechea, Diego Janches, Markus Garhammer, Jorge L. Chau, J. Federico Conte, Peter Hoor, and Andreas Engel. Southtrac-gw: An airborne field campaign to explore gravity wave dynamics at the world's strongest hotspot. Bulletin of the American Meteorological Society, 102(4):E871 -- E893, 2021. [ bib | DOI ]
[13] S. Krautwurst, K. Gerilowski, J. Borchardt, N. Wildmann, M. Galkowski, J. Swolkien, J. Marshall, A. Fiehn, A. Roiger, T. Ruhtz, C. Gerbig, J. Necki, J. P. Burrows, A. Fix, and H. Bovensmann. Quantification of ch4 coal mining emissions in upper silesia by passive airborne remote sensing observations with the mamap instrument during comet. Atmospheric Chemistry and Physics Discussions, 2021:1--39, 2021. [ bib | DOI ]
[14] J. Kostinek, A. Roiger, M. Eckl, A. Fiehn, A. Luther, N. Wildmann, T. Klausner, A. Fix, C. Knote, A. Stohl, and A. Butz. Estimating upper silesian coal mine methane emissions from airborne in situ observations and dispersion modeling. Atmospheric Chemistry and Physics, 21(11):8791--8807, 2021. [ bib | DOI ]
[15] E. Cheynet, M. Flügge, J. Reuder, J. B. Jakobsen, Y. Heggelund, B. Svardal, P. Saavedra Garfias, C. Obhrai, N. Daniotti, J. Berge, C. Duscha, N. Wildmann, I. H. Onarheim, and M. Godvik. The cotur project: remote sensing of offshore turbulence for wind energy application. Atmospheric Measurement Techniques, 14(9):6137--6157, 2021. [ bib | DOI ]
[16] Norman Wildmann, Thomas Gerz, and Julie K. Lundquist. Long-range doppler lidar measurements of wind turbine wakes and their interaction with turbulent atmospheric boundary-layer flow at perdigao 2017. Journal of Physics: Conference Series, 1618:032034, sep 2020. [ bib | DOI ]
[17] N. Wildmann, E. Päschke, A. Roiger, and C. Mallaun. Towards improved turbulence estimation with doppler wind lidar vad scans. Atmospheric Measurement Techniques Discussions, 2020:1--30, 2020. [ bib | DOI ]
[18] Frank N. Holzäpfel, Anton Stephan, Grigory Rotshteyn, Stephan Körner, Norman Wildmann, Lothar Oswald, Thomas Gerz, Günther Borek, Alexander Floh, Christian Kern, Markus Kerschbaum, Roman Nossal, Johannes Schwarzenbacher, Martin Stieber, Martin Strobel, Lukas Strauss, Clemens Weiß, Sebastian Kauczok, Christian Schiefer, Harald Czekala, Gerrit Maschwitz, and Igor Smalikho. Mitigating Wake Turbulence Risk During Final Approach Via Plate Lines. 2020. [ bib | DOI ]
[19] A. Fiehn, J. Kostinek, M. Eckl, T. Klausner, M. Galkowski, J. Chen, C. Gerbig, T. Röckmann, H. Maazallahi, M. Schmidt, P. Korbeń, J. Neçki, P. Jagoda, N. Wildmann, C. Mallaun, R. Bun, A.-L. Nickl, P. Jöckel, A. Fix, and A. Roiger. Estimating ch4, co2 and co emissions from coal mining and industrial activities in the upper silesian coal basin using an aircraft-based mass balance approach. Atmospheric Chemistry and Physics, 20(21):12675--12695, 2020. [ bib | DOI ]
[20] Andreas Dörnbrack, Bernd Kaifler, Natalie Kaifler, Markus Rapp, Norman Wildmann, Markus Garhammer, Klaus Ohlmann, James M. Payne, Morgan Sandercock, and Elizabeth J. Austin. Unusual appearance of mother-of-pearl clouds above el calafate, argentina (50o21's, 72o16'w). Weather, 75(12):378--388, 2020. [ bib | DOI ]
[21] T. M. Bell, P. Klein, N. Wildmann, and R. Menke. Analysis of flow in complex terrain using multi-doppler lidar retrievals. Atmospheric Measurement Techniques, 13(3):1357--1371, 2020. [ bib | DOI ]
[22] N. Wildmann, N. Bodini, J. K. Lundquist, L. Bariteau, and J. Wagner. Estimation of turbulence parameters from scanning lidars and in-situ instrumentation in the perdigão 2017 campaign. Atmospheric Measurement Techniques Discussions, 2019:1--33, 2019. [ bib | DOI ]
[23] J. Wagner, T. Gerz, N. Wildmann, and K. Gramitzky. Long-term simulation of the boundary layer flow over the double-ridge site during the perdigão 2017 field campaign. Atmospheric Chemistry and Physics, 19(2):1129--1146, 2019. [ bib | DOI ]
[24] A. Luther, R. Kleinschek, L. Scheidweiler, S. Defratyka, M. Stanisavljevic, A. Forstmaier, A. Dandocsi, S. Wolff, D. Dubravica, N. Wildmann, J. Kostinek, P. Jöckel, A.-L. Nickl, T. Klausner, F. Hase, M. Frey, J. Chen, F. Dietrich, J. Necki, J. Swolkień, A. Fix, A. Roiger, and A. Butz. Quantifying ch4 emissions from hard coal mines using mobile sun-viewing fourier transform spectrometry. Atmospheric Measurement Techniques, 12(10):5217--5230, 2019. [ bib | DOI ]
[25] H. J. S. Fernando, J. Mann, J. M. L. M. Palma, J. K. Lundquist, R. J. Barthelmie, M. Belo-Pereira, W. O. J. Brown, F. K. Chow, T. Gerz, C. M. Hocut, P. M. Klein, L. S. Leo, J. C. Matos, S. P. Oncley, S. C. Pryor, L. Bariteau, T. M. Bell, N. Bodini, M. B. Carney, M. S. Courtney, E. D. Creegan, R. Dimitrova, S. Gomes, M. Hagen, J. O. Hyde, S. Kigle, R. Krishnamurthy, J. C. Lopes, L. Mazzaro, J. M. T. Neher, R. Menke, P. Murphy, L. Oswald, S. Otarola-Bustos, A. K. Pattantyus, C. Veiga Rodrigues, A. Schady, N. Sirin, S. Spuler, E. Svensson, J. Tomaszewski, D. D. Turner, L. van Veen, N. Vasiljevic, D. Vassallo, S. Voss, N. Wildmann, and Y. Wang. The perdigão: Peering into microscale details of mountain winds. Bulletin of the American Meteorological Society, 100(5):799--819, 2019. [ bib | DOI ]
[26] Norman Wildmann, Stephan Kigle, and Thomas Gerz. Coplanar lidar measurement of a single wind energy converter wake in distinct atmospheric stability regimes at the perdigão 2017 experiment. Journal of Physics: Conference Series, 1037(5):052006, 2018. [ bib | DOI ]
[27] N. Wildmann, N. Vasiljevic, and T. Gerz. Wind turbine wake measurements with automatically adjusting scanning trajectories in a multi-doppler lidar setup. Atmospheric Measurement Techniques, 11(6):3801--3814, 2018. [ bib | DOI ]
[28] Anton Stephan, Norman Wildmann, I. N. Smalikho, and F. Holzäpfel. Investigation of the engine-gear vortex with lidar and cfd, 2018. [ bib | DOI ]
[29] Igor N. Smalikho Anton Stephan, Norman Wildmann. Spatiotemporal visualization of wind turbulence from measurements by a windcube 200s lidar in the atmospheric boundary layer, 2018. [ bib | DOI ]
[30] Igor N. Smalikho Anton Stephan, Norman Wildmann. Effectiveness of the mfas method for retrieval of height profiles of speed and direction of the wind from measurements by a windcube 200s lidar, 2018. [ bib | DOI ]
[31] Alexander Rautenberg, Martin S. Graf, Norman Wildmann, Andreas Platis, and Jens Bange. Reviewing wind measurement approaches for fixed-wing unmanned aircraft. Atmosphere, 9(11), 2018. [ bib | DOI ]
[32] R.J. Barthelmie, S.C. Pryor, N. Wildmann, and R. Menke. Wind turbine wake characterization in complex terrain via integrated doppler lidar data from the perdigão experiment. Journal of Physics: Conference Series, 1037(5):052022, 2018. [ bib ]
[33] Norman Wildmann, Sarah Bernard, and Jens Bange. Measuring the local wind field at an escarpment using small remotely-piloted aircraft. Renewable Energy, 103:613 -- 619, 2017. [ bib | DOI ]
[34] Andreas Platis, Barbara Altstädter, Birgit Wehner, Norman Wildmann, Astrid Lampert, Markus Hermann, Wolfram Birmili, and Jens Bange. An observational case study on the influence of atmospheric boundary-layer dynamics on new particle formation. Boundary-Layer Meteorology, 158(1):67--92, Jan 2016. [ bib | DOI ]
[35] Norman Wildmann, Gerrit Anke Rau, and Jens Bange. Observations of the early morning boundary-layer transition with small remotely-piloted aircraft. Boundary-Layer Meteorology, 157(3):345--373, 2015. [ bib | DOI ]
[36] B. Altstädter, A. Platis, B. Wehner, A. Scholtz, N. Wildmann, M. Hermann, R. Käthner, H. Baars, J. Bange, and A. Lampert. Aladina – an unmanned research aircraft for observing vertical and horizontal distributions of ultrafine particles within the atmospheric boundary layer. Atmospheric Measurement Techniques, 8(4):1627--1639, 2015. [ bib | DOI ]
[37] N. Wildmann, M. Hofsäß, F. Weimer, A. Joos, and J. Bange. Masc - a small remotely piloted aircraft (RPA) for wind energy research. Advances in Science and Research, 11:55--61, 2014. [ bib | DOI ]
[38] N. Wildmann, F. Kaufmann, and J. Bange. An inverse-modelling approach for frequency response correction of capacitive humidity sensors in abl research with small remotely piloted aircraft (RPA). Atmospheric Measurement Techniques, 7(9):3059--3069, 2014. [ bib | DOI ]
[39] N. Wildmann, S. Ravi, and J. Bange. Towards higher accuracy and better frequency response with standard multi-hole probes in turbulence measurement with remotely piloted aircraft (RPA). Atmospheric Measurement Techniques, 7(4):1027--1041, 2014. [ bib | DOI ]
[40] M. Lothon, F. Lohou, D. Pino, F. Couvreux, E. R. Pardyjak, J. Reuder, J. Vilà-Guerau de Arellano, P Durand, O. Hartogensis, D. Legain, P. Augustin, B. Gioli, D. H. Lenschow, I. Faloona, C. Yagüe, D. C. Alexander, W. M. Angevine, E Bargain, J. Barrié, E. Bazile, Y. Bezombes, E. Blay-Carreras, A. van de Boer, J. L. Boichard, A. Bourdon, A. Butet, B. Campistron, O. de Coster, J. Cuxart, A. Dabas, C. Darbieu, K. Deboudt, H. Delbarre, S. Derrien, P. Flament, M. Fourmentin, A. Garai, F. Gibert, A. Graf, J. Groebner, F. Guichard, M. A. Jiménez, M. Jonassen, A. van den Kroonenberg, V. Magliulo, S. Martin, D. Martinez, L. Mastrorillo, A. F. Moene, F. Molinos, E. Moulin, H. P. Pietersen, B. Piguet, E. Pique, C. Román-Cascón, C. Rufin-Soler, F. Saïd, M. Sastre-Marugán, Y. Seity, G. J. Steeneveld, P. Toscano, O. Traullé, D. Tzanos, S. Wacker, N. Wildmann, and A. Zaldei. The bllast field experiment: Boundary-layer late afternoon and sunset turbulence. Atmospheric Chemistry and Physics, 14(20):10931--10960, 2014. [ bib | DOI ]
[41] N. Wildmann, M. Mauz, and J. Bange. Two fast temperature sensors for probing of the atmospheric boundary layer using small remotely piloted aircraft (RPA). Atmospheric Measurement Techniques, 6(8):2101--2113, 2013. [ bib | DOI ]
[42] Austin M Jensen, Norman Wildmann, YangQuan Chen, and Holger Voos. In-situ unmanned aerial vehicle (uav) sensor calibration to improve automatic image orthorectification. In Proc. IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS), page 596599, jul 2010. [ bib | DOI ]

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